"From ASP to XML... what does it all mean???"
Molly Ruggles
Wed Jan 23, 12-01:00pm, 3-370
Enrollment limited: first come, first served
Single session event
Join us for an hour's wade through the alphabet soup of the web. We'll include such highlights as the March of the MLs, the C ++ # family , the f-words (flash, flex, fireworks, etc.), 'lamps', 'pythons', 'rubies' and more. We'll also leave time at the end for your specific questions, assisted by several invited local experts.
This session will give you a better understanding of what the perl programmer down the hall is doing and you'll be less ill-at-ease when the Apache admin in your office talks about his or her 'sequel'. And, armed with a better overview of the fabric of the web, maybe you'll be tempted to wade in a little deeper on your own.
Contact: Molly Ruggles, NE48-308, (617) 324-9185, ruggles@mit.edu
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Advanced Programming Techniques in MATLAB®
Loren Shure, Ph.D. The MathWorks
Thu Jan 17, 12:45-02:30pm, 4-237
Enrollment limited: first come, first served
Limited to 78 participants.
Single session event
This master class will illustrate the usage and explain the benefits of many of the different function types available in MATLAB 7. You will learn how using the right function type can lead to more robust and maintainable code. Demonstrations will show how to apply these techniques to solve optimization problems and make it easier to program GUIs in MATLAB. This session will also provide you with an understanding of how different MATLAB data types are stored in memory. Experienced MATLAB programmers will receive the most benefit from this session.
Loren Shure is a Principal MATLAB Developer and has worked at The MathWorks for more than 20 years. She has co-authored several MathWorks products in addition to adding core functionality to MATLAB. Loren writes about MATLAB on her blog: http://blogs.mathworks.com/loren/.
Contact: James Cain, 253-3909, jrcain@mit.edu
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Coupling Biochemical Networks with Pharmacokinetic Models
Asawari Samant The MathWorks
Fri Jan 18, 09:15am-11:15pm, 4-237, [check in begins at 9:00 am]
Enrollment limited: first come, first served
Limited to 78 participants.
Single session event
SimBiology® is a tool for modeling, simulating and analyzing biochemical pathways. In this session, we will use an apoptosis model to highlight the various features of SimBiology software and to demonstrate the breadth of its analytical capabilities. This will include creating a model, simulation, parameter estimation, sensitivity analysis, and report generation. We will then show how a biochemical network can be coupled with a Pharmacokinetic model to analyze drug dosing.
About the presenter: Asawari Samant
Asawari Samant is an Applications Engineer in the Life Sciences group at The MathWorks. She has an MS from University of Delaware. Her thesis work was in the area of Computational Systems Biology, with a focus on stochastic modeling of multiscale biological pathways.
Contact: James Cain, 253-3909, jrcain@mit.edu
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Distributed and Parallel Computing with MATLAB®
Sarah Wait Zaranek, Ph.D. The MathWorks
Thu Jan 17, 11am-12:45pm, 4-237
Enrollment limited: first come, first served
Limited to 78 participants.
Single session event
This session will show you how to perform parallel computing in MATLAB® using either your desktop machine or a compute cluster. You will learn how to utilize the full capabilities of your multicore machine through the new parallelism capabilities of MATLAB 7.5.0 (R2007b) and Distributed Computing Toolbox™ 3.2. We will also introduce the use of our distributed computing products on a compute cluster to speed up your algorithms and handle larger data sets.
Sarah Wait Zaranek is an Application Engineer (MATLAB geek) at The MathWorks. She comes from UC Berkeley where she completed a post-doc focused mainly on understanding the interior dynamics of terrestrial planets. Her research involved both computational fluid dynamics as well as laboratory work. Her current focus is on distributed computing and core MATLAB.
Contact: James Cain, jrcain@mit.edu
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LabVIEW Basics
Andrew Watchorn National Instruments
Wed Jan 23, Thu Jan 24, Fri Jan 25, 09am-04:00pm, 3-401
Enrollment limited: advance sign up required (see contact below)
Limited to 18 participants.
Participants requested to attend all sessions (non-series)
LabVIEW is a graphical programming language designed for scientists and engineers to simplify the programming process and increase productivity in the areas of design, prototype, and measurement. This workshop will introduce the LabVIEW environment, its features, dataflow programming, and common LabVIEW architectures. This will combine theory and practice on developing test and measurement, data acquisition, controls, data-logging, and measurement analysis applications.
Pre-registration is requested for participants (see registration link below). Students are encouraged to bring their own laptops (show up early and we'll install LabVIEW on your Windows laptop), for those without, demonstration laptops will be available with preference given to those who have pre-registered.
Contact: James Cain, 253-3909, jrcain@mit.edu
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Master Class: Image Processing in MATLAB®
Steve Eddins, Ph.D. The MathWorks
Fri Jan 18, 11:45am-01:45pm, 4-237, [check in begins at 11:30 am]
Enrollment limited: first come, first served
Limited to 78 participants.
Single session event
Come learn how to get the most from MATLAB and the Image Processing Toolbox™. This seminar will teach you:
- Image visualization and graphics techniques using transparency, overlays, and animation
- Advanced indexing methods
- Computational tips and tricks for nonlinear filtering
- Creative binary image processing
- Image preprocessing options you may not know about
And more!
Steve Eddins manages the image processing and geospatial computing development team at The MathWorks. Before joining The MathWorks, Eddins was on the faculty of the Electrical Engineering and Computer Science Department at the University of Illinois at Chicago.
Steve Eddins coauthored the book Digital Image Processing Using MATLAB and writes regularly about image processing and MATLAB at http://blogs.mathworks.com/steve.
Contact: James Cain, 253-3909, jrcain@mit.edu
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Model and Simulate Dynamic Systems using Simulink® – An introductory tutorial
Eul-Shik Hong The MathWorks
Wed Jan 16, 01:30-04:45pm, 56-114, [Check in begins at 1:30 p.m.]
Enrollment limited: first come, first served
Limited to 63 participants.
Single session event
One of the challenges with understanding the theory behind dynamic systems, such as controls and signal processing, is with visualizing the results of the system. Simulink lets you do exactly that through graphical blocks – it enables you to model, simulate, and analyze dynamic systems. This tutorial will introduce the fundamentals of Simulink. After attending, you will be able to build a working Simulink model, and get started with modeling of feedback systems and conducting frame-based frequency analysis in the Simulink environment. Please bring your laptop for hands on lab.
Eul-Shik Hong, a senior member of The MathWorks Training Services organization, has developed and instructed users on the use of MathWorks products related to algorithm development and system modeling for both controls and signal processing applications.
Contact: James Cain, 253-3909, jrcain@mit.edu
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Using VUE to Map and Visualize Content from MIT's Image Repositories
Melanie St.James (Ed.M.) member of the VUE's development team at Tufts University
Fri Jan 25, 10am-12:00pm, 37-312
No enrollment limit, no advance sign up
Single session event
During this hands-on session, you will learn how to use VUE to create "concept/content maps" that can help you visualize content and relationships by tapping into MIT's image repositories such as the Rotch Visual Collection, OCW and Visualizing Culture's Black Ships and Samurai Collections.
The VUE tool was created with teaching, learning and research in mind. Come explore how this free, open-source software can help you find new ways to access and visualize digital content.
Melanie St.James (Ed.M.) is a member of the VUE's development team at Tufts University and consults with faculty, students and staff on integrating educational technologies in their work.
Web: http://vue.tufts.edu
Contact: Peter Wilkins, NE48-308, x3-1694, pwilkins@mit.edu
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